review Open AccessTop 1% cited
A survey on modern trainable activation functions
Neural Networks · 2021 · Vol. 138 · pp. 14–32
Andrea Apicella✉(Ingegneria dei Trasporti (Italy))Francesco Donnarumma(National Research Council)Francesco IsgròRoberto Prevete
Neural Networks and ApplicationsMachine Learning and Data ClassificationMachine Learning and ELMActivation functionComputer scienceArtificial neural networkFunction (biology)Artificial intelligenceSimple (philosophy)Process (computing)
MeSH terms
Machine Learning
Citations
519
FWCI
46.19
field-weighted impact
References
168
Percentile
100%
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Citations per year
References
Neural networks for pattern recognition
Choice Reviews Online · 1994 · 18,690 citations
Neural networks for pattern recognition
Neural Networks · 1995 · 1,895 citations
On the psychophysical law.
Psychological Review · 1957 · 3,336 citations
Learning long-term dependencies with gradient descent is difficult
IEEE Transactions on Neural Networks · 1994 · 8,303 citations
Gradient-based learning applied to document recognition
Proceedings of the IEEE · 1998 · 57,014 citations
30 years of adaptive neural networks: perceptron, Madaline, and backpropagation
Proceedings of the IEEE · 1990 · 2,234 citations
ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2015 · 39,683 citations
The “independent components” of natural scenes are edge filters
Vision Research · 1997 · 2,262 citations
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